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Physics Informed Machine Learning Jobs in Seattle, WA

Axon

Principal Machine Learning Engineer

Seattle, WA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... new machine learning models and AI capabilities, leading to better and more responsible AI ... Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly ...

foundry10

Senior Researcher, Applied Machine Learning

Seattle, WA · On-site

$191K - $318K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Make informed decisions about when to extend vs. redirect or close off lines of inquiry, depending ... PhD in Machine Learning or related discipline * 2-5 years relevant post-PhD work experience * First ...

PitchBook

Sr. Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

... models are informed by high-quality data and support strategic product goals • Explore and ... machine learning engineering, with a strong focus on AI/ML applications in insight generation ...

Menlo Ventures

Principal Machine Learning Engineer

Seattle, WA · On-site

$130 - $170/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... new machine learning models and AI capabilities, leading to better and more responsible AI ... Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly ...

Axon

Principal Machine Learning Engineer

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... new machine learning models and AI capabilities, leading to better and more responsible AI ... Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly ...

Axon

Principal Machine Learning Engineer

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... new machine learning models and AI capabilities, leading to better and more responsible AI ... Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly ...

Meta

Software Engineer, Machine Learning

Seattle, WA

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ...

PitchBook Data

Sr. Machine Learning Engineer

Seattle, WA

$118K - $163K/yr

  • Medical

  • Life

  • Retirement

As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a ... models are informed by high-quality data and support strategic product goals * Explore and ...

Meta

Software Engineer, Machine Learning

Bellevue, WA

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ...

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Physics Informed Machine Learning information

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How much do physics informed machine learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for physics informed machine learning in Seattle, WA is $22.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $28.99 per hour, depending on experience, location, and employer.

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are popular job titles related to Physics Informed Machine Learning jobs in Seattle, WA?

For Physics Informed Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Physics Informed Machine Learning jobs in Seattle, WA look for?

The top searched job categories for Physics Informed Machine Learning jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Physics Informed Machine Learning jobs?

Cities near Seattle, WA with the most Physics Informed Machine Learning job openings:

Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $47,491 per year, or $22.8 per hour.

Principal Machine Learning Engineer

Axon

Seattle, WA • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

Axon rating

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

14th of 159 rated electronics manufacturers

Job description

Your Impact

Are you passionate about AI? Do you love engineering solutions enabling fast, cutting-edge science? Are you eager to contribute to building products impacting the world for the greater good?
As a Principal ML Engineer at Dedrone, you will contribute to architecting and implementing the platform used by Dedrone scientists to bring safe, secure, reliable AI features to the field of counter UAS devices. Collaborating closely with scientists and software engineers, you will enable new AI capabilities for Dedrone products. As part of a multidisciplinary team, you will be exposed to a wide range of domains and applications: from Multi-modal Sensor Fusion to Real Time Systems with distributed edge compute.
The ideal candidate will have a consistent track record of successfully optimizing models for the edge and deploying AI models at the edge, including on device with limited memory & connectivity, to serve users world wide. They will understand the AI lifecycle and be capable of supporting scientists end-to-end along the development of new machine learning models and AI capabilities, leading to better and more responsible AI solutions. They are willing to be bold and stand up to support the team in enabling drone safety measures across Public Safety, Enterprise and Defense domains.

What You'll Do

Location: Hybrid from Seattle, WA
Reports to: Director of Artificial Intelligence 

  • Architect and develop secure, privacy-preserving, on device solutions to enable the continuous improvement of existing AI models.
  • Collaborate with scientists in architecting and implementing state-of-the-art edge distributed training techniques.
  • Implement on device monitoring solutions used for continuous model improvement
  • Implement innovative model compression solutions to enable AI at the edge.
  • Impact the team by bringing your own expertise and deep knowledge of the state-of-the-art to introduce new techniques leading to tangible impact in terms of model fairness, performance, and platform scalability.
What You Bring
  • Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
  • 13+ years of software engineering experience and a proven track record of successfully architecting and maintaining large-scale distributed platforms.
  • Experience with AI on chips, on device model deployment and management.
  • Proficiency in python, C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
  • Advanced knowledge and hands-on experience with on chips development.
  • Excellent problem solving skills and ability to dive into system architecture, design, performance metrics, code, test plans, project plans, deployments and operations
  • Comfort communicating and interacting with scientists, engineers and product managers.
Preferred
  • Master's Degree or PhD in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
  • Hands-on experience in solving Computer Vision or Natural Language Understanding problems in a business setting.
  • Familiarity with responsible AI, de-biasing, model encryption and de-identification techniques.
Benefits that Benefit You
  • Competitive salary and 401k with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Medical, Dental, Vision plans
  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
  • Employee Resource Groups (ERGs)
  • And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

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